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Hello With due respect, have a nice time. I would like to ask some command in R. It is regarding variable selection in linear regression. In R, there is one rebuild function called "step" which selecting variables according to AIC. let say i have data [y, x1,x2,x3,x4] we start with y~b0 i compute the partial F test and choose the variable with maximum partial F to enter the

Hey, I'm an R noobie and I have been trying calculate SSEr and SSEc in order to determine if there is sufficient evidence to include second-order terms in my model, but I have no idea what command to use. Any help with this would be much appreciated. -- View this message in context: http://r.789695.n4.nabble.com/Nested-Models-tp4637855.html Sent from the R help mailing list archive at

Hi Group, recently I upgraded to v 3.7.1p2 on Reliant Unix (former SINIX). With sser root everything works fine, but with a "normal" user the session terminates.. I put the logfile of the "sshd -dddd" at the end. What is wrong? regard Stephan --------------- debug2: read_server_config: filename /etc/sshd_config debug1: sshd version OpenSSH_3.7.1p2 debug1: private host key:

Hello, I used a mac G5, R.2.1.1, and G77 3.4.4 and I would like to use and call a fortran subroutine. The trouble is that it seems I am not able to correctly load the compiled code. Here is what I have done: In the terminal this how I compiled my fortran code: R CMD SHLIB ~/Desktop/Fortan_kmeans/kmeans3.f There is the wrapper I have paste inside de kmeans3.f file: c

Dear Sir, I have data, coming from tests, consisting of 300 values. Is there a way in R with which I can confirm this data to 68-95-99.8 rule or three-sigma rule? I need to look around percentile ranks and prediction intervals for this data. I, however, used SixSigma package and used ss.ci() function, which produced 95% confidence intervals. I still am not certain about percentile ranks